为了在故障诊断信息不一致的情况下提取简单有效的诊断规则，提出了一种基于粗糙集理论的决策规则提取方法。
In order to extract simple and effective diagnostic rales from inconsistent diagnostic information, an extraction method of decision rules for fault diagnosis based on rough set theory is proposed.
第三部分通过具体的企业销售数据库实例，介绍粗糙集方法在管理决策中的应用过程。
The third section introduces how the RS theory is applied in the decision making with an enterprise database.
该文给出了一种基于模糊聚类的粗糙集决策表分析方法。
In this paper, a rough set decision table analysis method based on fuzzy cluster is presented.
利用改进后的变精度粗糙集模型(VPRS)分析“消费者决策心理调查问卷”，样本包括910个大学生。
The improved variable precision rough set model (VPRS) is applied to analyze "the questionnaire of customer's decision-making psychology". The sample includes 910 undergraduate students.
粗糙集理论的概念性框架之一就是利用不可分辨关系和布尔推理作为数据约简和获取决策规则的基础。
Rough sets theory provides a framework in which indiscernibility relations and Boolean reasoning form a foundation for data reduction and decision rule generation.
基于粗糙集方法提出了一种系统的决策表约简和决策规则提取方法。
Based on the rough set theory, a new systematic method is proposed to reduce the decision table and induce the decision-making rules.
应用这种方法能够将不完备系统转化为模糊信息系统，然后利用模糊粗糙集理论，让隐藏在不完备信息系统中的知识以决策规则的形式表示出来。
Based on fuzzy rough set theory, it is liable to change the incomplete system into fuzzy information system and make the covert knowledge stand out in a way of decision regularity.
文章在对粗糙集理论研究的基础上，运用容差关系对含有决策的数据表进行了遗漏补缺，实例表明此方法是行之有效的。
Based on the profound research of rough set theory, the decision table is default filled by using tolerance relation, which proves efficient.
为了使图像跟踪系统能根据图像特征自适应选取分割算法，给出了一种基于粗糙集理论的图像分割智能决策方法。
In order that the image tracking system can select segmentation algorithm itself according to the object image feature, this paper presents an intelligent decision method of image segmentation.
总体过程如下：首先以粗糙集决策表一致性水平、区间平均信息熵、离散化程度等因素作为离散化结果的评价标准。
The overall course is as follows: Firstly, take consistency level of decision, average information entropy and degree of discretization as evaluation criteria of the result of discretization.
本论文的研究工作，主要围绕着基于粗糙集理论的动态约简以求得决策规则。
The research of this thesis is mainly about the dynamic reduction based on rough set theory as well as how to establish and develop the decision rules after completing the reduction.
本文基于一种相似关系下的粗糙集模型，给出了一些基本性质，讨论了该相似关系下的决策系统的知识获取算法。
Based on the rough model under the similarity relation, some basic properties are studied, and a knowledge acquisition algorithm based on the similarity relation in decision systems is discussed.
针对决策表中属性取值为杂合数据的情况，提出了基于粗糙集理论的属性约简算法。
With regard to the attribute values in decision table, which are described with hybrid data, a new algorithm of attribute reduction based on rough set theory is proposed.
在粗糙集理论中，决策表的属性约简是一个非常重要的研究课题。
In the theory of rough set, attribute reduction of decision table was an important research subject.
基于粗糙集理论的群体推理——即将不确定性信息处理技术与群决策理论与方法集成的研究，是一个崭新的研究领域。
Group reasoning based on rough sets-combining uncertain information deployment method with group decision theory and method, is a new kind research area.
改进了一种粗糙集决策表的值约简算法，并将其应用到文本分类规则的提取中。
A reduction algorithm based on rough set is improved and then applicated to extract the rules of text categorization.
由此说明如何运用粗糙集方法为企业的管理决策提供有价值的信息。
All of these have shown how to make use of the Rough Set theory to make valuable information for the management decision in the enterprise.
该方法将CHI值特征选取和粗糙集理论充分结合，避免了用粗糙集对大规模决策表进行特征约简，同时避免了决策表的离散化。
The method combined CHI value feature selection and rough set theory fully so as to avoid both feature reduction on a large scale decision table and the discretization of the decision table.
最后应用粗糙集理论来对决策信息表进行离散化处理和属性约简，以生成图像分割算法选取的决策规则。
Finally, rough set theory is applied to discretization and attribution reduction of decision information table, in order to make the decision rule of image segmentation algorithm selection.
在粗糙集理论及粗糙模糊集理论中，上下近似及边界的求解与决策表属性约简是它们的核心内容。
In the rough set theory and rough-fuzzy set theory, computation of approximations and edge and attributes reduction of decision table is import part of them.
目前粗糙集决策表中条件属性的重要性基本上是用条件属性的依赖度进行评判的。
At present basically significance of conditional attribute in the decisional table based on rough sets is evaluated through dependability of conditional attribute.
使用粗糙集和证据合成理论中的方法，给出了获取概率信息系统的扩展决策规则集的一般方法。
Based on rough sets and evidence combining theory, a general method of extracting the extension decision rules of probability information system is given.
提出了一种基于粗糙集理论的决策规则获取算法及实用的决策规则表示方法。
Presents a new decision rule acquisition algorithm based on rough set and a practical decision rule presentation approach.
数据挖掘是知识发现领域的一个重要问题，粗糙集理论是一种具有模糊边界的数据挖掘方法，它被广泛应用于决策系统的分类规则提取中。
Data mining is an important problem in KDD, and Rough set as a theory of set with fuzzy boundary is widely applied to infer classification rules from decision system.
因此将粗糙集应用于基于案例推理，提出基于粗糙案例推理的在线自我学习决策方法。
A new decision-making approach that rough set is applied to CBR is proposed to fulfill an on-line knowledge self-learning process.
基于粗糙集、模糊集和贝叶斯最优分类器，提出一种变压器绝缘故障诊断与维护的综合决策模型。
Based on Bayesian optimal classifier, combining with rough set and fuzzy set, a new transformer fault diagnosis and maintenance mode is presented in the paper.
提出一种基于粗糙集的区间值属性决策表的有序规则获取方法。
A new approach rough set-based for ordering rules acquisition in interval valued decision table is presented.
针对有偏好信息但信息不完全的多属性决策问题，给出了一种基于拓展粗糙集的决策分析方法。
In this paper, a decision analysis method based on extension of the rough sets is proposed to multi_attribute decision making problems with preferential and incomplete information.
因此，随着对粗糙集理论的深入研究，利用粗糙集进行决策表中的决策规则挖掘便成了一个热点课题。
So, along with further studies of RS, decision rules mining in decision table by using RS has become a hotspot.
因此，随着对粗糙集理论的深入研究，利用粗糙集进行决策表中的决策规则挖掘便成了一个热点课题。
So, along with further studies of RS, decision rules mining in decision table by using RS has become a hotspot.
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